Karpenter vs. CAST AI K8s Automation Platform
Compare two Kubernetes optimization solutions to find out which one is a better fit for your business.
Avoid manual work, with CAST AI you can start saving in 5 minutes. Leverage the all-in-one platform features including cluster security and monitoring.
CAST AI vs. Karpenter at a glance
Fast optimization, automated Kubernetes cost reduction, monitoring, and security.
- An automated cost management platform tailored for Kubernetes that works with all three major cloud providers.
- Automated optimization features reduce cloud costs by 63% on average, with minimal configuration effort.
Open-source, automated node provisioning and deprovisioning.
- A tool for improving the efficiency and cost of running workloads on Kubernetes clusters, supports only Amazon EKS.
- Karpenter provisions and optimizes nodes automatically, removing them when no longer needed. However, it requires time-consuming configuration to make it work right.
CAST AI vs. Karpenter: quick feature comparison
Use the comparison table below to discover what makes CAST AI different.
| Feature | CAST AI | Karpenter |
|---|---|---|
| Vendor support | ||
| AWS | ||
| Google Cloud | ||
| Microsoft Azure | ||
| Autoscaling features | ||
| Unscheduled Pod policy | ||
| Bin packing pods | ||
| Delete Empty Node policy | ||
| Optimized pod grouping | ||
| Spot instance support | ||
| Ultra-fast scaling | ||
| Observability features | ||
| Cost monitoring | ||
| Security insights | ||
| Easy setup & maintenance | ||
| 5-minute setup | ||
| Support | ||
| Dedicated 24/7 customer support | ||
| Upcoming feature roadmap | ||
| Uptime SLA | ||
Branch.io: Millions of Dollars Saved on Amazon EKS & kOps
“Cost optimization with CAST AI has been a big success for Branch, saving us millions of dollars annually while maintaining our reliability SLAs. The modest amount of effort by our team makes this one of the highest ROI cloud cost savings initiatives we’ve done.”
Mark Weiler
Senior VP of Engineering
Complete your PoC in days, not months
Proving something works should not take months. CAST AI starts saving the moment you onboard. Complete your Proof of Concept in 5 days and get an ROI report to prove results.
Average savings:
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CAST AI manages your cloud resources automatically. No upfront payments or manual tracking and fiddling.
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Features your K8s cluster will love
Free features
No credit card required. Unlimited clusters.
Cloud cost monitoring
View your cloud costs in one place, monitor them in real time, and understand where exactly they come from.
Container security
Get all the key cloud security insights in one place, prioritize configuration issues and vulnerabilities, and share your findings easily.
Premium Kubernetes automation
Advanced autoscaling
Depending on your workload’s needs, CAST AI adds and removes resources necessary to ensure top performance at the best price.
Instant rebalancing
Analyze and optimize your cluster automatically to enjoy improved performance at a far lower cost.
Spot instance automation
Save even 90% with spot instance automation – and have your workloads moved automatically upon their termination.
Automatic rightsizing
CAST AI automatically selects the resources your workload needs, eliminating the risk of under and overprovisioning.
Immediate relief for your cloud spend
CAST AI reduces your cloud costs without requiring hours of engineer time to set things up. You will get the first savings within an hour of enabling automation.
Fair and straightforward pricing
CAST AI bills you for the number of CPUs, not the savings amount. Without extra charges for cost optimization, monitoring, or security features.
Effortless implementation
Connect your clusters, set policies, and turn automated optimization on to have CAST AI take care of Kubernetes deployment 24/7.
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Start for free. No strings attached
Get access to the essential Kubernetes cost management features, incl. cluster-specific savings report, cost monitoring, and more – all within minutes of signing up.
No card required
Unlimited clusters
Unlimited historical data